Big Data as a Gateway to Knowledge Management

Whether to take data ingestion cycles off the ETL tool and the Data Warehouse or to facilitate competitive Data Science and building algorithms in the organization, the Data Lake a place for unmodeled and vast data will be provisioned widely in 2019. Though it doesn’t have to be complicated, the Data Lake has a few key design points that are critical, and it does need to follow some principles for success. Avoid building the Data Swamp, but not the Data Lake! The tool ecosystem is building up around the Data Lake and soon many will have a robust Lake and Data Warehouse. We will discuss policy to keep them straight, send “horses to courses,” and keep up users’ confidence in the Data Platforms.

Modern data applications and analytics rely on a wide variety of data both inside and outside the company; organizations depend on enriched data sets for better insights. This need, in part, has driven many companies to move to cloud data warehouses and cloud data lakes. However, it’s no longer simply about migrating to the cloud. It’s about modernizing using a combination of industry-leading services in the cloud and cloud-native data management services to deliver better business decisions, faster.

Organizations across the world are onboarding digital initiatives, especially in the changed world after COVID-19. Learn now you can lead the business growth and modernization with effective Data governance initiatives to drive your digitization efforts. It is uncommon that information in silos due to data spread across different business applications, databases, and repositories across the organization, leading to slower digital initiatives. Learn how effective data governance can help to fast track data quality, master data, policy automation, regulatory and privacy compliance can help reduce costs, time to market, improve customer experience and contribute to business growth.

Enterprises in data driven fields such as finance and healthcare must balance data utility with confidentiality. Often, enterprises and their partners want to analyze or monetize non-public or personally identifiable information, often at odds with growing privacy regulations and intellectual property concerns. Innovations in bu